Corpus and Method for Identifying Citations in Non-Academic Text

Yifan He, Adam Meyers


Abstract
We attempt to identify citations in non-academic text such as patents. Unlike academic articles which often provide bibliographies and follow consistent citation styles, non-academic text cites scientific research in a more ad-hoc manner. We manually annotate citations in 50 patents, train a CRF classifier to find new citations, and apply a reranker to incorporate non-local information. Our best system achieves 0.83 F-score on 5-fold cross validation.
Anthology ID:
L14-1027
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4316–4319
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1036_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Yifan He and Adam Meyers. 2014. Corpus and Method for Identifying Citations in Non-Academic Text. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4316–4319, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Corpus and Method for Identifying Citations in Non-Academic Text (He & Meyers, LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1036_Paper.pdf